1.4 Constraint Based Diagrams

1.5 Make Plotting As Easy As Doing It in R

From diagram-discuss:

The above code produces four plots: a scatterplot (something you would
often see in statistics), a plot of a function and, well, two empty
grids. As a statistician, I usually work a lot with R together with a
more or less sophisticated plotting package. The currently best
plotting system for R is probably ggplot . Now, I started using
Bryan O'Sullivan's statistics package for some of my calculations.
Once in Haskell mode, you obviously don't want to switch back and
forth between languages. So, I was wondering if it is possible to
produce professional looking plots with diagrams' DSL, and how
difficult it could be to put together a DSL for (statistical)
plotting.

I was thinking of something similar to ggplot's functionality. Making
it easy to overlay plots, producing and combining legends, etc.
Creating scatterplots and histograms and boxplots. Overlaying them
with error regions and density estimates respectively. Then do the
same for different subsets of the original data. Doing this with
diagrams DSL could proof to be extremely powerful. Each "dot" in a
plot could potentially be any diagram you want, dots, circles, stars,
numbers or characters -- and if plots are nothing but diagrams, you
could even plot plots into a plot. A real pain for most plotting
systems is to combine multiple plots into one and to generate a common
legend for all of them. This, for example, should be trivial to do
within diagrams DSL.

I would be more than happy to help in such a project. As the code
above probably suggests, I am not the strongest Haskell hacker around.
In fact, I am a statistician/mathematician who happens to use Haskell
for some of his projects. That's it. Would anyone be interested in
picking up such a project? As I said, I would be happy to help and
get involved. Because I think there is a real need for something like
this, and it would be very powerful to have eDSL for statistical
plotting within Haskell.